Using a truly accessible and reader-friendly approach, this comprehensive introduction to statistics redefines the way statistics can be taught and learned. Unlike other books that merely focus on procedures, Reid’s approach balances development of critical thinking skills with application of those skills to contemporary statistical analysis. He goes beyond simply presenting techniques by focusing on the key concepts readers need to master in order to ensure their long-term success. Indeed, this exciting new book offers the perfect foundation upon which readers can build as their studies and careers progress to more advanced forms of statistics. Keeping computational challenges to a minimum, Reid shows readers not only how to conduct a variety of commonly used statistical procedures, but also when each procedure should be utilized and how they are related. Following a review of descriptive statistics, he begins his discussion of inferential statistics with a two-chapter examination of the Chi Square test to introduce students to hypothesis testing, the importance of determining effect size, and the need for post hoc tests. When more complex procedures related to interval/ratio data are covered, students already have a solid understanding of the foundational concepts involved. Exploring challenging topics in an engaging and easy-to-follow manner, Reid builds concepts logically and supports learning through robust pedagogical tools, the use of SPSS, numerous examples, historical quotations, insightful questions, and helpful progress checks. 
Les mer
Keeping computational challenges to a minimum, the author shows readers how to conduct a variety of commonly used statistical procedures as well as when each procedure should be utilized.
Chapter 1. Introduction Part I. Descriptive Statistics - Seeing Clearly with Data Chapter 2. Describing Nominal and Ordinal Data Chapter 3. Describing Interval and Ratio Data - I Chapter 4. Describing Interval and Ratio Data - II Part II. Computer Assisted Statistical Analysis Chapter 5. Using SPSS Part III. Inferential Statistics - Thinking Clearly about Data Chapter 6. The Logic of Inferential Statistics Chapter 7. Finding Differences with Nominal Data - I Chapter 8. Finding Differences with Nominal Data - II Chapter 9. Finding Differences with Interval and Ratio Data - I Chapter 10. Finding Differences with Interval and Ratio Data - II Chapter 11. Finding Differences with Interval/Ratio Data - III Chapter 12. Finding Differences with Interval/Ratio Data - IV Chapter 13. Finding Differences with Interval/Ratio Data - V Chapter 14. Identifying Associations with Nominal and Interval/Ratio Data Chapter 15. Identifying Associations with Interval/Ratio Data Chapter 16. Congratulations - The Big Picture and Next Steps Appendix I. Kruskal - Wallis H Test Appendix II. Spearman r Correlation Appendix III. Multiple Regression Appendix IV. An Introduction to Power Analysis - Finding Minimum Appropriate Sample Sizes Appendix V. Statistical Symbols Used in this Book Appendix VI. Definitional Equations and, Where Appropriate, Their Computational Equation Equivalents Appendix VII. Inferential Statistical Procedures and Their Measures of Effect Size Appendix VIII. Glossary of Terms Appendix IX. Answers to Chapter Problems Appendix X. Statistical Tables Appendix XI. Overview Table for the Book
Les mer
"The text is VERY well written…I like the logical flow of the text the BEST.  I also like the outlines, tables, explanations of symbols inserted within the text. I find them very appropriate in the timing of presentation and thus helpful to continue reading the sample chapter."                                                                                                                                              —May Takeuchi, University of North Alabama
Les mer

Produktdetaljer

ISBN
9781452271965
Publisert
2013-10-01
Utgiver
Vendor
SAGE Publications Inc
Vekt
910 gr
Høyde
231 mm
Bredde
187 mm
Aldersnivå
UU, UP, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
632

Forfatter

Biographical note

Howard M. Reid, professor in the Psychology Department at SUNY Buffalo State, received his doctorate in experimental psychology from the University of Maine and then completed postdoctoral study in behavior genetics at The Jackson Laboratory in Maine. Dr. Reid is an active researcher with broad interests, including published work in operant analysis of behavior and animal models of epilepsy, as well as the associations between ADHD and laterality. He has also directed numerous undergraduate research projects which have been presented at local, regional, and national conferences. Dr. Reid is the recipient of a number of prestigious awards, including the SUNY Chancellor’s Awards in Teaching and Faculty Service and the Buffalo State President’s Award for Excellence as an Undergraduate Research Mentor. Dr. Reid is currently testing a scale constructed to measure student appreciation of the liberal arts, is working with his statistics TAs in research projects, and chairs the college senate.